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Extending lettuce shelf life through integrated technologies
Highlights•Enzymatic discoloration and rapid deterioration are major lettuce postharvest
issues.•Understanding intrinsic and extrinsic factors allows minimizing postharvest …
issues.•Understanding intrinsic and extrinsic factors allows minimizing postharvest …
Masked autoencoders for low-dose CT denoising
Low-dose computed tomography (LDCT) reduces the X-ray radiation but compromises
image quality with more noises and artifacts. A plethora of transformer models have been …
image quality with more noises and artifacts. A plethora of transformer models have been …
Is human perception reliable? Toward illumination robust food freshness prediction from food appearance—Taking lettuce freshness evaluation as an example
Abstract Machine vision-based food quality evaluation systems have achieved great
attention in industry and academia in recent years because of their high-throughput and non …
attention in industry and academia in recent years because of their high-throughput and non …
Cross-and-Diagonal Networks: An Indirect Self-Attention Mechanism for Image Classification
J Lyu, R Zou, Q Wan, W **, Q Yang, S Kodagoda… - Sensors, 2024 - mdpi.com
In recent years, computer vision has witnessed remarkable advancements in image
classification, specifically in the domains of fully convolutional neural networks (FCNs) and …
classification, specifically in the domains of fully convolutional neural networks (FCNs) and …
Develop a Framework of a recurring Procedure for Improving Agro Production and Plant Quality by using frameworks
This study seems to propose an innovative approach to addressing the complexities of
agricultural sustainability and productivity. By integrating graph-based Q-learning into two …
agricultural sustainability and productivity. By integrating graph-based Q-learning into two …
Machine Learning Model Development and Applications to Medical Imaging and Food Science
D Wang - 2023 - search.proquest.com
Artificial intelligence has prevailed in various scientific and engineering fields in recent
years. Its ability to learn from large data and make predictions based on learned patterns …
years. Its ability to learn from large data and make predictions based on learned patterns …
[SITAT][C] Design Of An Iterative Method For Optimizing Agricultural Productivity And Crop Quality Using Graph-Based Q-Learning And Nutrient-Action Frameworks
SW Wasankar - Educational Administration: Theory and Practice, 2024